AI Engineer with 1+ years in Machine Learning & Deep Learning
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Assessing your cultural and operational fit
B. Tech AI/ML graduate with hands-on experience building and deploying scalable end-to-end software and AI systems. Strong in object-oriented programming, data structures, algorithms. Passionate about solving complex problems and developing efficient, real-world applications.
St. Peter's Engineering College
B. Tech · Artificial Intelligence & Machine Learning
August 1, 2020 – June 30, 2024
Master Minds Junior College, Siddipet
Intermediate (MPC)
June 1, 2018 – May 31, 2020
Your Volta
AI Intern
September 1, 2025 – Present
India
InfoZ IT Solutions
Data Science Intern
January 1, 2025 – March 1, 2025
India
Sign Language to Speech & Text
June 13, 2026 – Present
Engineered a real-time CNN-based ASL hand gesture recognition system achieving 80% classification accuracy across 26 gesture classes, using OOP-structured preprocessing, feature extraction, and classification modules. Optimized inference pipeline with OpenCV to achieve <100ms latency per frame, demonstrating algorithm design, complexity trade-offs, and performance-driven problem solving in a constrained real-time environment. Eliminated reliance on human interpreters for 26 ASL characters, improving communication accessibility — delivering measurable customer impact through scalable computer vision technology.
HRMS Agentic AI System
June 13, 2026 – Present
Architected a multi-tiered distributed system with role-based workflows (Admin & Employee), automated onboarding, and leave management, reducing HR processing time by ~50% and deployed on cloud for 24/7 availability. Designed a fault-tolerant relational DB schema in PostgreSQL handling 10+ entity types with real-time approval pipelines, dynamic status retrieval, and secure role-based access control — demonstrating end-to-end system ownership. Integrated LLM + RAG conversational interface with intent-based routing and email-triggered notification pipelines, enabling natural language interaction over structured HR data with sub-2s response time.
Python and Django
Udemy
June 1, 2026 – Present
Certified in Data Science
Teks Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship experiences demonstrate a strong interest and practical application in AI/ML, aligning well with an AI Engineer role. The diversity of projects (HRMS agent, car damage detection, sign language recognition, attrition prediction) showcases a broad skill set and adaptability to different problem domains. The emphasis on end-to-end system ownership and delivering measurable impact suggests a proactive and responsible work ethic.
Soft Skills & Operational Fit
The candidate's project and experience descriptions indicate an ability to collaborate cross-functionally, translate complex technical outputs into business insights, and solve problems in real-world, constrained environments. The focus on reducing manual effort and improving accessibility suggests a results-oriented and user-centric approach. The agile experience points to adaptability and iterative development capabilities.